MatterTrack Route Of Network Traffic

Python
- 1.1?基础
  - while语句
  - 字符串边缘填充
  - 列出文件夹中的指定文件类型
  - All Combinations For A List Of Objects
  - Apply Operations Over Items In A List
  - Applying Functions To List Items
  - Arithmetic Basics
  - Assignment Operators
  - Basic Operations With NumPy Array
  - Breaking Up String Variables
  - Brute Force D20 Roll Simulator
  - Cartesian Product
  - Chain Together Lists
  - Cleaning Text
  - Compare Two Dictionaries
  - Concurrent Processing
  - Continue And Break Loops
  - Convert HTML Characters To Strings
  - Converting Strings To Datetime
  - Create A New File Then Write To It
  - Create A Temporary File
  - Data Structure Basics
  - Date And Time Basics
  - Dictionary Basics
  - Display JSON
  - Display Scientific Notation As Floats
  - Exiting A Loop
  - Find The Max Value In A Dictionary
  - Flatten Lists Of Lists
  - For Loop
  - Formatting Numbers
  - Function Annotation Examples
  - Function Basics
  - Functions Vs. Generators
  - Generating Random Numbers With NumPy
  - Generator Expressions
  - Hard Wrapping Text
  - How To Use Default Dicts
  - If Else On Any Or All Elements
  - Indexing And Slicing NumPy Arrays
  - Indexing And Slicing NumPy Arrays
  - Iterate An Ifelse Over A List
  - Iterate Over Multiple Lists Simultaneously
  - Iterating Over Dictionary Keys
  - Lambda Functions
  - Logical Operations
  - Looping Over Two Lists
  - Mathematical Operations
  - Mocking Functions
  - Nested For Loops Using List Comprehension
  - Nesting Lists
  - Numpy Array Basics
  - Parallel Processing
  - Partial Function Applications
  - Priority Queues
  - Queues And Stacks
  - Recursive Functions
  - Scheduling Jobs In The Future
  - Select Random Element From A List
  - Selecting Items In A List With Filters
  - Set The Color Of A Matplotlib Plot
  - Sort A List Of Names By Last Name
  - Sort A List Of Strings By Length
  - Store API Credentials For Open Source Projects
  - String Formatting
  - String Indexing
  - String Operations
  - Swapping Variable Values
  - Unpacking A Tuple
  - Unpacking Function Arguments
  - Use Command Line Arguments In A Function
  - Using Named Tuples To Store Data
  - any(), all(), max(), min(), sum()
  - if and if else
  - repr vs. str
  - Try, Except, 和 Finally
- 1.2?数据可视化
  - Back To Back Bar Plot In MatPlotLib
  - Bar Plot In MatPlotLib
  - Color Palettes in Seaborn
  - Creating A Time Series Plot With Seaborn And pandas
  - Creating Scatterplots With Seaborn
  - Group Bar Plot In MatPlotLib
  - Histograms In MatPlotLib
  - Making A Matplotlib Scatterplot From A Pandas Dataframe
  - Matplotlib, A Simple Example
  - Pie Chart In MatPlotLib
  - Scatterplot In MatPlotLib
  - Stacked Percentage Bar Plot In MatPlotLib
- 1.3?数据整理
  - 查找数据框中的唯一值
  - 连接合并数据框
  - Columns Shared By Two Data Frames
  - Apply Functions By Group In Pandas
  - Apply Operations To Groups In Pandas
  - Applying Operations Over pandas Dataframes
  - Assign A New Column To A Pandas DataFrame
  - Break A List Into N-Sized Chunks
  - Breaking Up A String Into Columns Using Regex In pandas
  - Construct A Dictionary From Multiple Lists
  - Convert A CSV Into Python Code To Recreate It
  - Convert A Categorical Variable Into Dummy Variables
  - Convert A Categorical Variable Into Dummy Variables
  - Convert A String Categorical Variable To A Numeric Variable
  - Convert A Variable To A Time Variable In pandas
  - Count Values In Pandas Dataframe
  - Create A Pipeline In Pandas
  - Create A pandas Column With A For Loop
  - Create Counts Of Items
  - Create a Column Based on a Conditional in pandas
  - Creating Lists From Dictionary Keys And Values
  - Crosstabs In pandas
  - Delete Duplicates In pandas
  - Descriptive Statistics For pandas Dataframe
  - Dropping Rows And Columns In pandas Dataframe
  - Enumerate A List
  - Expand Cells Containing Lists Into Their Own Variables In Pandas
  - Filter pandas Dataframes
  - Find Largest Value In A Dataframe Column
  - Geocoding And Reverse Geocoding
  - Geolocate A City And Country
  - Geolocate A City Or Country
  - Group A Time Series With pandas
  - Group Data By Time
  - Group Pandas Data By Hour Of The Day
  - Grouping Rows In pandas
  - Hierarchical Data In pandas
  - List Unique Values In A pandas Column
  - Load A JSON File Into Pandas
  - Load An Excel File Into Pandas
  - Load Excel Spreadsheet As pandas Dataframe
  - Loading A CSV Into pandas
  - Long To Wide Format
  - Lower Case Column Names In Pandas Dataframe
  - Make New Columns Using Functions
  - Map External Values To Dataframe Values in pandas
  - Missing Data In pandas Dataframes
  - Moving Averages In pandas
  - Normalize A Column In pandas
  - Pivot Tables In pandas
  - Quickly Change A Column Of Strings In Pandas
  - Random Sampling Dataframe
  - Ranking Rows Of Pandas Dataframes
  - Regular Expression Basics
  - Regular Expression By Example
  - Reindexing pandas Series And Dataframes
  - Rename Column Headers In pandas
  - Rename Multiple pandas Dataframe Column Names
  - Replacing Values In pandas
  - Saving A pandas Dataframe As A CSV
  - Search A pandas Column For A Value
  - Select Rows When Columns Contain Certain Values
  - Select Rows With A Certain Value
  - Select Rows With Multiple Filters
  - Selecting pandas DataFrame Rows Based On Conditions
  - Simple Example Dataframes In pandas
  - Sorting Rows In pandas Dataframes
  - Split Lat/Long Coordinate Variables Into Seperate Variables
  - Streaming Data Pipeline
  - String Munging In Dataframe
  - Using List Comprehensions With pandas
  - Using Seaborn To Visualize A pandas Dataframe
  - pandas Data Structures
  - pandas Time Series Basics
- 1.4?日志
  - Basic Logging
- 1.5?其它
  - Generate Tweets Using Markov Chains
  - Mine Twitter's Stream For Hashtags Or Words
  - Simple Clustering With SciPy
  - What Is The Probability An Economy Class Seat Is An Aisle Seat?
- 1.6?测试
  - Simple Unit Test
  - Test Code Speed
  - Test For A Specific Exception
  - Test If Output Is Close To A Value
  - Testable Documentation
- 1.7?网络爬虫
  - Beautiful Soup Basic HTML Scraping
  - Drilling Down With Beautiful Soup
  - Monitor A Website For Changes With Python
机器学习
- 1.1??基础知识
  - Loading Features From Dictionaries
  - Loading scikit-learn's Boston Housing Dataset
  - Loading scikit-learn's Digits Dataset
  - Loading scikit-learn's Iris Dataset
  - Make Simulated Data For Classification
  - Make Simulated Data For Clustering
  - Make Simulated Data For Regression
  - Perceptron In Scikit
  - Saving Machine Learning Models
- 1.2??聚类
  - DBSCAN聚类
  - Meanshift聚类
  - 聚类评估
  - Agglomerative聚类
  - Mini-Batch k-Means Clustering
  - k-Means Clustering
- 1. 3?特征工程
  - Dimensionality Reduction On Sparse Feature Matrix
  - Dimensionality Reduction With Kernel PCA
  - Dimensionality Reduction With PCA
  - Feature Extraction With PCA
  - Group Observations Using K-Means Clustering
  - Selecting The Best Number Of Components For LDA
  - Selecting The Best Number Of Components For TSVD
  - Using Linear Discriminant Analysis For Dimensionality Reduction
- 1.4??特征选择
  - ANOVA F-value For Feature Selection
  - Chi-Squared For Feature Selection
  - Drop Highly Correlated Features
  - Recursive Feature Elimination
  - Variance Thresholding Binary Features
  - 特征选择之方差阈值
- 1.5??线性回归
  - Adding Interaction Terms
  - Create Interaction Features
  - Effect Of Alpha On Lasso Regression
  - Lasso Regression
  - Linear Regression
  - Linear Regression Using Scikit-Learn
  - Ridge Regression
  - Selecting The Best Alpha Value In Ridge Regression
- 1. 6?逻辑斯特回归
  - Fast C Hyperparameter Tuning
  - Handling Imbalanced Classes In Logistic Regression
  - Logistic Regression
  - Logistic Regression On Very Large Data
  - Logistic Regression With L1 Regularization
  - One Vs. Rest Logistic Regression
- 1. 7?模型评估
  - Accuracy
  - Create Baseline Classification Model
  - Create Baseline Regression Model
  - Cross Validation Pipeline
  - Cross Validation With Parameter Tuning Using Grid Search
  - Cross-Validation
  - Custom Performance Metric
  - F1 Score
  - Generate Text Reports On Performance
  - Nested Cross Validation
  - Plot The Learning Curve
  - Plot The Receiving Operating Characteristic Curve
  - Plot The Validation Curve
  - Precision
  - Recall
  - Split Data Into Training And Test Sets
- 1.8?模型选择
  - 随机搜索进行超参数调参
  - Find Best Preprocessing Steps During Model Selection
  - Hyperparameter Tuning Using Grid Search
  - Model Selection Using Grid Search
  - Pipelines With Parameter Optimization
- 1.9??朴素贝叶斯
  - Bernoulli Naive Bayes Classifier
  - Calibrate Predicted Probabilities
  - Gaussian Naive Bayes Classifier
  - Multinomial Logistic Regression
  - Multinomial Naive Bayes Classifier
  - Naive 大专栏 MatterTrack Route Of Network Traffic :: Matter Bayes Classifier From Scratch
- 1.10?KNN
  - Identifying Best Value Of k
  - K-Nearest Neighbors Classification
  - Radius-Based Nearest Neighbor Classifier
- 1.11?日期时间数据处理
  - Break Up Dates And Times Into Multiple Features
  - Calculate Difference Between Dates And Times
  - Convert Strings To Dates
  - Convert pandas Columns Time Zone
  - Encode Days Of The Week
  - Handling Missing Values In Time Series
  - Handling Time Zones
  - Lag A Time Feature
  - Rolling Time Window
  - Select Date And Time Ranges
- 1.12?图像处理
  - Binarize Images
  - Blurring Images
  - Cropping Images
  - Detect Edges
  - Enhance Contrast Of Color Image
  - Enhance Contrast Of Greyscale Image
  - Harris Corner Detector
  - Installing OpenCV
  - Isolate Colors
  - Load Images
  - Remove Backgrounds
  - Save Images
  - Sharpen Images
  - Shi-Tomasi Corner Detector
  - Using Mean Color As A Feature
- 1.13?处理结构化数据
  - Convert Pandas Categorical Data For Scikit-Learn
  - Delete Observations With Missing Values
  - Deleting Missing Values
  - Detecting Outliers
  - Discretize Features
  - Encoding Ordinal Categorical Features
  - Handling Imbalanced Classes With Downsampling
  - Handling Imbalanced Classes With Upsampling
  - Handling Outliers
  - Impute Missing Values With Means
  - Imputing Missing Class Labels
  - Imputing Missing Class Labels Using k-Nearest Neighbors
  - Normalizing Observations
  - One-Hot Encode Features With Multiple Labels
  - One-Hot Encode Nominal Categorical Features
  - Preprocessing Categorical Features
  - Preprocessing Iris Data
  - Rescale A Feature
  - Standardize A Feature
- 1.14?处理文本
  - Bag Of Words
  - Parse HTML
  - Remove Punctuation
  - Remove Stop Words
  - Replace Characters
  - Stemming Words
  - Strip Whitespace
  - Tag Parts Of Speech
  - Term Frequency Inverse Document Frequency
  - Tokenize Text
- 1.15?支持向量机
  - Calibrate Predicted Probabilities In SVC
  - Find Nearest Neighbors
  - Find Support Vectors
  - Imbalanced Classes In SVM
  - Plot The Support Vector Classifiers Hyperplane
  - SVC Parameters When Using RBF Kernel
  - Support Vector Classifier
- 1.16?树和森林
  - 随机森林做特征选择
  - Adaboost Classifier
  - Decision Tree Classifier
  - Decision Tree Regression
  - Feature Importance
  - Handle Imbalanced Classes In Random Forest
  - Random Forest Classifier
  - Random Forest Classifier Example
  - Random Forest Regression
  - Select Important Features In Random Forest
  - Titanic Competition With Random Forest
  - Visualize A Decision Tree
- 1.17?向量，矩阵和数组
  - Adding And Subtracting Matrices
  - Apply Operations To Elements
  - Calculate Dot Product Of Two Vectors
  - Calculate The Average, Variance, And Standard Deviation
  - Calculate The Determinant Of A Matrix
  - Calculate The Trace Of A Matrix
  - Converting A Dictionary Into A Matrix
  - Create A Matrix
  - Create A Sparse Matrix
  - Create A Vector
  - Describe An Array
  - Find The Maximum And Minimum
  - Find The Rank Of A Matrix
  - Flatten A Matrix
  - Getting The Diagonal Of A Matrix
  - Invert A Matrix
  - Reshape An Array
  - Selecting Elements In An Array
  - Transpose A Vector Or Matrix
数据可视化
- 3.1?boxplot
- 3.2?柱状图
- 3.3?箱线图
- 3.4?相关性图
- 3.5?密度图
  - 12.5.1 一般密度图
  - 12.5.2 边缘密度
- 3.6?分布图
- 3.7?趋势图
- 3.8?流程图
- 3.9?热图
- 3.10?直方图
- 3.11?地图
- 3.12?网络图
- 3.13?饼状图
- 3.14?排序图
- 3.15?散点图
- 3.16?小提琴图
- 3.17?文字云
- 3.18?其它
Linux
- 6. 1 基础
  - Copy Files And Directories
  - Delete Files And Directories
  - Delete Files And Directories In Current Directory
  - Move Files And Directories
  - Rename File
  - See Disk Drive Space
  - Archive And Unarchive Files
  - Change Permissions
  - Changing Directories
  - Check Current Date And Time
  - Create Command
  - Create Directory
  - Create File
  - Create Sequential List Of Files And Directories
  - Create Symbolic Links
  - Exit Terminal Session
  - Get Help With A Command
  - Get Information On A File
  - List Avaliable Commands
  - List The Contents Of A Directory
  - Multiple Commands On One Line
  - Ping Website
  - See Free Memory
  - See Who Is Logged Into A System
  - Select Files Based On Filename
  - Synchronize Files And Directories
  - Track Route Of Network Traffic
  - View A File's Type
  - View A Text File's Contents
  - View Current Working Directory
  - View First And Last Parts Of Files
  - Zip And Unzip Directories
  - Zip And Unzip Files
- 6.2?环境变量
  - Create Environment Variable
  - View Aliases
  - View Environment Variable
- 6.3??流程控制
  - For Loops
  - If Else For Integers
  - If Else For Strings
  - If Else With Multiple Conditions
- 6.4??输入与输出
  - Append Error To File
  - Append File Contents To Another File
  - Append Output To File
  - Append Outputs And Errors To File
  - Chain Multiple Commands
  - Concatenate Multiple Files
  - Save Output To File In Middle Of Command Chain
  - Silence Errors
  - Sort Rows
  - Write Errors To File
  - Write Output To File
- 6.5??进程
  - List Processes
  - Monitor Processes
- 6.6??搜索
  - Find Directories
  - Find Files
  - Find Files Based On Multiple Conditions
  - Find Files By Filename
  - Find Files By Size
  - Find Program's Location
  - Find Symbolic Links
  - Search Contents Of All Files Of Certain Type
  - Search Filenames
  - Search The Contents Of A File
- 6.7??文本
  - Add Columns To Text
  - Count Unique Rows
  - Extract Text
  - Find And Replace
  - Adding Line Numbers
  - Comparing Text Files
  - Join And Sort Text
  - Join Columns
  - Quickly View File Contents
深度学习
- 2.1??Keras
  - Adding Dropout
  - Convolutional Neural Network
  - Feedforward Neural Network For Binary Classification
  - Feedforward Neural Network For Multiclass Classification
  - Feedforward Neural Networks For Regression
  - LSTM Recurrent Neural Network
  - Neural Network Early Stopping
  - Neural Network Weight Regularization
  - Preprocessing Data For Neural Networks
  - Save Model Training Progress
  - Tuning Neural Network Hyperparameters
  - Visualize Loss History
  - Visualize Neural Network Architecutre
  - Visualize Performance History
  - k-Fold Cross-Validating Neural Networks
- 2.2??Keras
正则表达式
- 7.1?模式
  - Match A Symbol
  - Match A Unicode Character
  - Match A Word
  - Match Any Character
  - Match Any Of A List Of Characters
  - Match Any Of A Series Of Options
  - Match Any Of A Series Of Words
  - Match Dates
  - Match Email Addresses
  - Match Exact Text
  - Match Integers Of Any Length
  - Match Text Between HTML Tags
  - Match Times
  - Match URLs
  - Match US Phone Numbers
  - Match US and UK Spellings
  - Match Words With A Certain Ending
  - Match ZIP Codes
书籍推荐
- 书籍推荐

Navigation :

Python

机器学习

数据可视化

Linux

-
基础
-- Copy Files And Directories
-- Delete Files And Directories
-- Delete Files And Directories In Current Directory
-- Move Files And Directories
-- Rename File
-- See Disk Drive Space
-- Archive And Unarchive Files
-- Change Permissions
-- Changing Directories
-- Check Current Date And Time
-- Create Command
-- Create Directory
-- Create File
-- Create Sequential List Of Files And Directories
-- Create Symbolic Links
-- Exit Terminal Session
-- Get Help With A Command
-- Get Information On A File
-- List Avaliable Commands
-- List The Contents Of A Directory
-- Multiple Commands On One Line
-- Ping Website
-- See Free Memory
-- See Who Is Logged Into A System
-- Select Files Based On Filename
-- Synchronize Files And Directories
-- Track Route Of Network Traffic
-- View A File's Type
-- View A Text File's Contents
-- View Current Working Directory
-- View First And Last Parts Of Files
-- Zip And Unzip Directories
-- Zip And Unzip Files

-
环境变量

-
流程控制

-
输入与输出

-
进程

-
搜索

-
文本

深度学习

正则表达式

书籍推荐

Trace Route From Local Computer To Website

traceroute shows the path of our network traffic across the internet. Press ctrl-C to cancel.

traceroute google.com

traceroute to google.com (216.58.219.14), 30 hops max, 60 byte packets
 1  10.0.1.1 (10.0.1.1)  0.920 ms  1.742 ms  2.294 ms
 2  10.33.236.1 (10.33.236.1)  10.222 ms  14.140 ms  14.381 ms
 3  72.215.229.12 (72.215.229.12)  18.079 ms  18.182 ms  18.423 ms
 4  bellcorc02-te-0-0-0-5.ph.ph.cox.net (70.169.72.188)  20.697 ms  20.938 ms  24.585 ms
 5  68.1.4.252 (68.1.4.252)  36.520 ms  36.788 ms  102.515 ms
 6  72.215.224.173 (72.215.224.173)  51.262 ms  43.500 ms 72.215.224.175 (72.215.224.175)  43.209 ms
 7  108.170.247.225 (108.170.247.225)  47.121 ms
 *  45.889 ms

Synchronize Files And Directories
View A File's Type

原文地址：https://www.cnblogs.com/lijianming180/p/12041485.html

时间： 2024-10-04 13:47:30

MatterTrack Route Of Network Traffic :: Matter

Trace Route From Local Computer To Website

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